Khomenko M. Viacheslav
Papers
1
Total Citations
9
H-Index
1
About
Viacheslav Khomenko is a researcher whose work lies at the intersection of robotics, human-robot interaction, and neural-inspired control systems. His primary research focus is on developing biologically plausible models for physical human-robot interaction, with a particular emphasis on rhythmic and social behaviors such as handshaking. His most-cited paper, "Physical human–robot interaction in the handshaking case: learning of rhythmicity using oscillators neurons" (2013), introduces a novel approach using oscillator neurons to enable robots to learn and synchronize rhythmic movements with human partners. This work has garnered 9 citations, reflecting its niche but foundational contribution to the field of socially assistive and collaborative robotics. Khomenko’s research is notable for bridging computational neuroscience and practical robotics, offering insights into how robots can adapt to human motion in real-time. His achievements include advancing the understanding of dynamic, non-verbal communication between humans and machines, which has implications for rehabilitation robotics, prosthetics, and human-robot teamwork. For students and researchers, Khomenko’s work exemplifies how neural-inspired algorithms can create more intuitive and responsive robotic systems, paving the way for safer and more natural physical interactions.
Research Focus
Key Achievements
Top Papers
- 1